Towards Sustainable Artificial Intelligence: A Framework to Create Value and Understand Risk

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2021

G. L. Tsafack ChetsaTowards Sustainable Artificial Intelligencehttps://doi.org/10.1007/978-1-4842-7214-5_4

4. Intra-organizational Understanding of AI: Toward Transparency

Ghislain Landry Tsafack Chetsa¹  

(1)

London, UK

 

Mainstream public perception of AI varies greatly depending on an individual’s perspective and experiences. On the one hand, from a user perspective, it can be perceived as a set of services that rely on data to enable new levels of innovations, insights, and organizational performance. On the other hand, from a more technical perspective, it can be perceived as a technology using mathematical frameworks, computing infrastructures along with ...